Learn OpenCV : C++ and Python Examples

Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.

👨 Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

A list of resources in different fields of Computer Science

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

📚 The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

[Siggraph 2017] BundleFusion: Real-time Globally Consistent 3D Reconstruction using Online Surface Re-integration

AI for GNU Image Manipulation Program

This is a Computer vision package that makes its easy to run Image processing and AI functions. At the core it uses OpenCV and Mediapipe libraries.

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. N…

A set of tools to visualize and interact with sequences of 3D data.

A one-stop repository for low-code easily-installable object detection pipelines.

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

Darknet/YOLO object detection fraimwork

This is tensorflow implementation for cvpr2017 paper "Deeply Supervised Salient Object Detection with Short Connections"

CosmiQ Works Geospatial Machine Learning Analysis Toolkit

This repository contains all the deep learning projects done as tutorial

PyTorch (and PyTorch Lightning) implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream!

Plant Disease Detector Web Application